#federated-learning — Public Fediverse posts

NeurIPS 2026 satellites will run in Atlanta and Paris on December 9–13 alongside Sydney’s Dec 6–12 main site. Here’s what the tri-site plan

https://aistory.news/machine-learning/neurips-2026-satellites-set-for-atlanta-and-paris-dec-9-13/

#FederatedLearning #Quantization #ReinforcementLearning

Google aims to cut enterprise agent token costs with Gemini 3.6, per Artificial Intelligence News. See why per‑task pricing could reset AI

https://aistory.news/machine-learning/google-targets-enterprise-agent-token-costs-with-gemini-36/

#FederatedLearning #Quantization #ReinforcementLearning

Meta, Microsoft, Nvidia, and IBM back an open-weight AI alliance. Here’s how it could reshape model procurement, reduce lock-in, and speed

https://aistory.news/machine-learning/why-the-open-weight-ai-alliance-could-cut-enterprise-costs/

#FederatedLearning #Quantization #ReinforcementLearning

The 40th NeurIPS heads to Australia. NeurIPS 2026 Sydney runs December 6–12 with satellite hubs in Paris and Atlanta. Here’s what the split

https://aistory.news/machine-learning/neurips-2026-sydney-adds-satellite-hubs-in-paris-atlanta/

#FederatedLearning #Quantization #ReinforcementLearning

The 40th NeurIPS heads to Australia. NeurIPS 2026 Sydney runs December 6–12 with satellite hubs in Paris and Atlanta. Here’s what the split

https://aistory.news/machine-learning/neurips-2026-sydney-adds-satellite-hubs-in-paris-atlanta/

#FederatedLearning #Quantization #ReinforcementLearning

Google.org AI for Science opens a $30M global call, pairing grants with an accelerator, pro bono experts, and Cloud credits. Apply by May

https://aistory.news/machine-learning/googleorg-ai-for-science-launches-30m-global-challenge/

#FederatedLearning #Quantization #ReinforcementLearning

Nature Communications’ computational pathology benchmark finds uneven generalization across cancer tasks; ensembles help. What hospitals

https://aistory.news/machine-learning/natures-computational-pathology-benchmark-reveals-gaps/

#FederatedLearning #Quantization #ReinforcementLearning

Microsoft’s OneLake Iceberg preview lets Apache Iceberg readers query Delta tables without copies. What this interoperability means for

https://aistory.news/machine-learning/onelake-iceberg-preview-points-to-microsoft-fabric-openness/

#FederatedLearning #Quantization #ReinforcementLearning

Code.org Hour of AI debuts new student activities and an AI Tutor, shifting the Hour of Code toward AI literacy across grades 2-12. See how.

https://aistory.news/machine-learning/codeorg-hour-of-ai-pivots-hour-of-code-to-literacy/

#FederatedLearning #Quantization #ReinforcementLearning

NeurIPS 2026 Sydney is set for December 6–12. Calls span papers to reproducibility and creative AI. Here’s what the 40th year signals for

https://aistory.news/machine-learning/neurips-2026-sydney-dates-calls-and-whats-different/

#FederatedLearning #Quantization #ReinforcementLearning

AWS Bluesight 340B AI aims to cut hospital compliance friction and audit risk. Here's why back-office AI could drive faster, clearer ROI in

https://aistory.news/machine-learning/aws-bluesight-340b-ai-targets-hospital-compliance-costs/

#FederatedLearning #Quantization #ReinforcementLearning

WAIMLAp 2026 CFP sets a November 18–20 workshop with zero publication fees via Springer. See why that fee-free promise matters for ML

https://aistory.news/machine-learning/waimlap-2026-cfp-zero-fees-springer-backed-workshop/

#FederatedLearning #Quantization #ReinforcementLearning

AIBunkerhill funding of $55M will scale agentic AI in health systems. Here's how it could reshape hospital ops, budgets, and near-term

https://aistory.news/machine-learning/aibunkerhill-funding-pushes-agentic-ai-into-hospitals/

#FederatedLearning #Quantization #ReinforcementLearning

NeurIPS 2026 program marks the 40th edition with an AI reviewing experiment and expanded calls for datasets, reproducibility, and creative

https://aistory.news/machine-learning/neurips-2026-program-expands-with-ai-review-new-tracks/

#FederatedLearning #Quantization #ReinforcementLearning

NeurIPS AI review goes official as the 40th conference lists an AI Reviewing Experiment for December 2026. Here's why it matters for

https://aistory.news/machine-learning/neurips-ai-review-experiment-goes-official-in-2026/

#FederatedLearning #Quantization #ReinforcementLearning

Microsoft adds an Azure MCP server link to the Azure Updates page, signaling AI‑ready release notes via MCP. What it enables for ops teams.

https://aistory.news/machine-learning/microsoft-quietly-ships-azure-mcp-server-for-updates/

#FederatedLearning #Quantization #ReinforcementLearning

NeurIPS 2026 satellites add Atlanta and Paris hubs to the 40th NeurIPS in Sydney, widening access across time zones. Dates, context, and

https://aistory.news/machine-learning/neurips-2026-satellites-add-atlanta-and-paris-hubs/

#FederatedLearning #Quantization #ReinforcementLearning

A July 9 report says an AWS GraphRAG deployment cut drug research cycles by 87%. See how graph-based RAG can turn pilots into revenue and

https://aistory.news/machine-learning/aws-graphrag-deployment-claims-87-faster-drug-research/

#FederatedLearning #Quantization #ReinforcementLearning

Nature flags automated science agents that propose and test biomedical ideas. What must work—provenance, safety, replication—before labs

https://aistory.news/machine-learning/automated-science-agents-edge-toward-real-lab-discovery/

#FederatedLearning #Quantization #ReinforcementLearning

Nature spotlights a sudden cardiac death predictor in ECGs, as AI flags a new risk group and raises big questions for screening and

https://aistory.news/machine-learning/nature-sudden-cardiac-death-predictor-found-in-ecgs/

#FederatedLearning #Quantization #ReinforcementLearning

Nature’s June 30 review says agentic AI in science now spans hypothesis to analysis. We examine what changes in labs—provenance, credit,

https://aistory.news/machine-learning/nature-spotlights-agentic-ai-in-science-workflows/

#FederatedLearning #Quantization #ReinforcementLearning

Nature spotlights AI hypothesis generation on June 30, 2026. Here’s why closing the discovery loop could reshape lab software, credit, and

https://aistory.news/machine-learning/ai-hypothesis-generation-closes-the-lab-discovery-loop/

#FederatedLearning #Quantization #ReinforcementLearning

Nature profiles AI biomedical hypotheses driving a full lab discovery cycle, and why the bottleneck now moves from models to wet‑lab

https://aistory.news/machine-learning/nature-spotlights-ai-biomedical-hypotheses-in-labs/

#FederatedLearning #Quantization #ReinforcementLearning

Nature describes AI hypothesis testing by collaborating agents that propose and vet biomedical ideas. We unpack what changes in labs and

https://aistory.news/machine-learning/nature-ai-hypothesis-testing-enters-the-discovery-loop/

#FederatedLearning #Quantization #ReinforcementLearning

Nature says AI lab agents can now generate and test biomedical hypotheses, pushing labs toward end-to-end automation. Here’s what must

https://aistory.news/machine-learning/nature-ai-lab-agents-move-from-idea-to-experiment/

#FederatedLearning #Quantization #ReinforcementLearning

Nature spotlights AI hypothesis generation in biomedicine, signaling a shift from data analysis to AI-led discovery loops. Here’s why it

https://aistory.news/machine-learning/ai-hypothesis-generation-moves-from-theory-to-lab-testing/

#FederatedLearning #Quantization #ReinforcementLearning

🌎 Privacy-by-design for neurotech devices is a good practice for protecting user security and reducing neurocrime. 💯

#privacybydesign #privacy #privacymatters #mentalprivacy #physicalprivacy #neurocrime #federated #federatedlearning #machinelearning #bci #bmi #neurorights #encryption

Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
#Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
Full research brief with timeline, energy comparisons & priorities:
flextalks.org/ai-almost-daily
#AI #Sustainability #FederatedLearning #DigitalRights

Machine Learning Trends: The Future is Here

https://jivoice.com/machine-learning-trends-2/

#MLOps #AItrends2024 #reinforcementlearning #tinyML #AIethics #federatedlearning #futureofmachinelearning #explainableAI #naturallanguageprocessing #multimodalAI

🧬 Can quantum intelligence unlock new ways to understand genetic mutations?

🔗 Quantum neural networks meet federated learning for DNA mutation prediction. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.036

📚 CSBJ Quantum Biology & Biophotonics: https://www.csbj.org/qbio

#Genomics #QuantumBiology #DNA #QuantumComputing #BiomedicalAI #FederatedLearning #PrecisionMedicine #ArtificialIntelligence #QNN

Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP stellt ein Framework vor, das föderierte Lernsysteme mit Hilfe des Model Context Protocol (MCP) erweitert. MCP dient hier als standardisierte Schnittstelle, um unterschiedliche Datenquellen und Analyse-Tools interoperabel einzubinden.
https://arxiv.org/abs/2510.01780
#FederatedLearning #MCP #DigitalHealth

Unlock the future of secure software development with Federated Learning. Discover how decentralized data science and privacy-preserving machine learning are transforming AI in software development, across healthcare, finance, and beyond.

Read the full blog to see how your business can innovate securely: https://inapp.com/blog/federated-learning-the-future-of-secure-ai-data-driven-business-innovation/

#InApp #FederatedLearning #DataScience #AI

Discover IPFed, privacy-preserving federated learning technique that achieves high authentication accuracy while protecting user data. https://hackernoon.com/ipfed-a-privacy-preserving-federated-learning-framework-for-face-verification #federatedlearning

Discover how IPFed protects personal data while maintaining the highest level of accuracy for user authentication. https://hackernoon.com/struggling-with-gdpr-compliant-ai-ipfed-delivers-accuracy-and-privacy #federatedlearning

📢 Just published our new work on federated random forests for privacy-preserving machine learning!
📄 “A Federated Random Forest Solution for Secure Distributed Machine Learning”
📌 IEEE: https://doi.org/10.1109/CBMS65348.2025.00159

📂 Supplementary slides:
🔗 https://doi.org/10.5281/zenodo.16539345

We're advancing secure AI without sharing data. Feedback & collaborations welcome! 🚀
#FederatedLearning #PrivacyPreservingAI #MachineLearning #OpenScience #IEEE #DataScience #Zenodo #ResearchSoftware #Reproducibility

The Roman Colosseum hosted actual naval battles! Beyond the gladiatorial contests, discover the astonishing engineering that allowed for these aquatic spectacles, and how every seat in this architectural wonder reflected Rome's rigid social hierarchy. It's more than just ruins – it's a testament to ancient genius.

Read the full story:
https://www.utubepublisher.in/2025/06/roman-colosseum-sea-battles-engineering-social-hierarchy.html

#RomanEmpire #ColosseumHistory #AncientEngineering #SocialStructures #HistoryBuff #Archaeology #FederatedLearning

Post 6: The Distributed Alternative
💡 Plot twist: What if we didn't need mega-datacenters?
Distributed AI projects proving viable:
✅ Hivemind, Flower, OpenFL enable collaborative training
✅ Federated learning across 71 medical sites on 6 continents
✅ Privacy preserved, data stays local
✅ Uses idle computing resources + local renewable energy
Why centralize when you can federate?
#DistributedAI #FederatedLearning #Decentralization

#FederatedLearning #FL, a decentralised #MachineLearning approach, enables banks to gain insights into customer behaviour without centralising sensitive data. This technology, while challenging to implement, offers personalised services, improved fraud detection, and accurate risk assessment.

While this is good for banks, it also opens interesting perspectives also in #InternationalCooperations handling of data! ... https://blog.locational.network/2025/04/14/065500.html

This article does a great job highlighting why DOGE is taking over the federal government so easily: federal systems centralize massive amounts of sensitive data, making them highly vulnerable to insider threats. The article concludes by pointing out that techniques like #FederatedLearning and #DifferentialPrivacy could help build more resilient systems 👏 #Privacy #CyberSecurity

https://www.nytimes.com/2025/02/21/opinion/musk-doge-personal-data.html?unlocked_article_code=1.yk4.ioNW.2SNQKCzmcCwR

Der Sammelband ist jetzt als Open-Access-Publikation im Nomos Verlag erschienen.
👉 Jetzt kostenlos als eBook lesen oder als Print bestellen!

https://researchinstitute.at/neu-beitrag-zu-virtuellen-zwillingen-und-diabetes-open-access/

#Virtuell #Zwilling #Projekt #OpenAccess #KI #Künstliche #Intelligenz #Datenschutz #Cybersicherheit #Medizinrecht #FederatedLearning #JuWissDay2024 #NomosVerlag

@aurelien_bellet

#introduction #MachineLearning #TrustworthyAI #decentralization #privacy #decentralized #FederatedLearning #DifferentialPrivacy #data #AI #Fediverse

I am really interested in these topics and I would like to hear every now and then some news or paper recommendation or sth like that.

Time for a proper #introduction! 👋 I'm a #MachineLearning researcher at Inria, France, focusing on #TrustworthyAI—especially #decentralization & #privacy. I design algorithms that learn from #decentralized data (#FederatedLearning) without memorizing personal data (#DifferentialPrivacy), working toward putting #data & #AI back in people's hands. Maybe one day, these ideas could be used in the #Fediverse!

"Approximate and Weighted Data Reconstruction Attack in Federated Learning" co-authored by #MSCA researcher Ziqi Wang
➡️ demonstrates that private data can be reconstructed from shared information in federated learning
➡️ emphasizing the urgent need for stronger defense mechanisms to protect user privacy.

#federatedLearning
#gradientInversion

#MachineLearning
#ArtificialIntelligence

https://arxiv.org/abs/2308.06822

#fediHistory #fediDocu

> HIS story of #satireSpotlights

What do you mean @erio7,
the #realSatirePur moments in @jesuisatire's #fediLife?

Like, HIS responsibility for the first urgent over night role out of a blocking feature (seriously!) in the #fediVerse, because HE tried to have fun with a troll who didn't had enough #selbstIronie in his ego, nor respect for the decentralized system or the community, showing of in the worst irresponsible manner possible?
😟

Or the #meanwhile incident, when "diaspora.com.ar … on it’s quest for the #holyTroll meet jesuiSatire .. ᘛ⁐̤ᕐᐷ" and called for the first time in #theFederatedHistory for a instance wide blocking of a distant user profile, wondering how to implement that in the code, telling HIM to quote: "¡stop being ironic!", with the admin writing an extense howTo defend yourself from a troll opEd, while HE already was trying to snip away users by writing takes like:
#federatedlearning, #hola #Argentina @Elcammarota
"About how to interpret a profile in the internet and why it can be useful to give #whiteHatTroll's ( as described by @linuzifer ) a chance."
¿ 😞 ?

HIS april fools censorship! prank conversation that hit the cord?
🤦‍♂️

Or the moment HE upset @lizzischmidt with HIS #opEd in Englisch promoting her German #sundayGimp movement by stating "they even are arrogant enough to invent new hashtags" and she took it serious?
That post nearly ended a friendship and the whole community had to come to the rescue to translate and state the obvious.
Like to say:
"Even @deusfigendi kann das bezeugen".
😮

We wonder if you are aware that you are talking about THE ONE who wrote the first draft of the #TSGDC more than 13 years ago, a take that actually could need some refurbishment, spellcheck and renaming to #TSGFC (The Sporial Guide to the Fediverse Cyberspace).
🤔

Well, actually we think HE is best when HE shows of with HIS 144 character bilingual or trilingual tweete takes like:
"German for #newBees leasons, because they have a word for everything."
(Ok, that one was really what he is all about, kinda selbstentlarvend. In other words, for a member of the #MUH a little bit to dangerous perhaps)
😇

Anyway, please don't make us remember old wounds, scares and stripes, we came a long way already ..
.. and be assured, @requeteChe was right when he stated from the get go:

ʕ•ﻌ•ʔ jeSuisatire, sounds like a typical bastard!

@_elena @satire

Federated Learning: A world where your data is safe yet insightful! 🤖✨ Discover how this AI revolution boosts privacy & accuracy in various industries. Follow for more! 🌍🔒 #FederatedLearning #DataPrivacy https://t.co/KyJeLQk5bf https://medium.com/@falitroke/unlocking-the-future-with-federated-learning-f2df219cb525